Elderly-care centers
See decline building — when earlier review may be useful.
For elderly-care environments, GaitAI can run SeniorCare monthly screening for every resident, FallRisk stratification on top, and WatchCare wearable trends for residents who need continuous visibility.
The operational problem
Monthly screenings can miss gradual mobility changes associated with elevated fall risk.
Why current workflows fall short
Assessments triggered by complaints or near-falls arrive after decline has already progressed; monthly observation without measurement misses slow change.
Recommended GaitAI product mix
Surface mobility decline and fall-risk indicators early.
Uses gait, balance, variability, posture and longitudinal movement trends to sort elderly and at-risk patients into low / medium / high screening categories for clinician review.
Monthly mobility, frailty trends, caregiver summaries.
Runs periodic mobility assessments for senior citizens and surfaces longitudinal mobility changes and decline indicators for caregiver or clinician review.
Continuous movement intelligence from the wrist.
Combines smartwatch, mobile and wearable sensor data to estimate daily mobility and activity patterns, gait variability and longitudinal fall-risk indicators for clinician, caregiver or remote-care review.
Example workflow
- 01Baseline assessment at enrolment
- 02Short monthly walking assessment per resident
- 03FallRisk updates categories from trends
- 04Care staff act on decline alerts
- 05Families receive plain-language summaries
Expected operational outputs
Periodic mobility screening, fall-risk trend, caregiver alerts and mobility-decline reporting.
Privacy & responsible use
Designed to support consent-based capture, encrypted transfer, configurable retention and role-based access, with activity logging and skeleton-only processing modes. Deployment requirements depend on the applicable environment, organization and jurisdiction. Privacy-aware architecture does not automatically mean anonymity: pose, gait and trajectories may still carry identifying information. GaitAI outputs are AI-generated movement metrics intended as decision support — they do not diagnose medical conditions and do not replace clinical judgement.